OPPO CPH2651
Geekbench AI Score
1744
Single Precision Score
1669
Half Precision Score
2034
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 21 2024 08:30 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OPPO CPH2651 |
| Model ID | OPPO CPH2651 |
| Motherboard | k6991v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3461 revision 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 Cores @ 2.40 GHz |
| Cluster 2 | 3 Cores @ 3.30 GHz |
| Cluster 3 | 1 Core @ 3.63 GHz |
| Memory Information | |
|---|---|
| Size | 11.12 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1713
318.6 IPS |
|
|
Image Classification (HP)
|
100% |
1803
335.2 IPS |
|
|
Image Classification (Q)
|
100% |
2610
485.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2177
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2178
35.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3100
50.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3605
4.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
2298
2.68 IPS |
|
|
Pose Estimation (Q)
|
84% |
4169
4.94 IPS |
|
|
Object Detection (SP)
|
98% |
850
67.6 IPS |
|
|
Object Detection (HP)
|
98% |
837
66.6 IPS |
|
|
Object Detection (Q)
|
83% |
1276
103.0 IPS |
|
|
Face Detection (SP)
|
100% |
2128
25.3 IPS |
|
|
Face Detection (HP)
|
100% |
2070
24.6 IPS |
|
|
Face Detection (Q)
|
95% |
3022
36.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
2686
20.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2666
20.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
3211
29.4 IPS |
|
|
Style Transfer (SP)
|
89% |
5456
7.08 IPS |
|
|
Style Transfer (HP)
|
89% |
5470
7.10 IPS |
|
|
Style Transfer (Q)
|
98% |
8968
11.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1155
42.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1187
43.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1954
72.4 IPS |
|
|
Text Classification (SP)
|
100% |
477
637.0 IPS |
|
|
Text Classification (HP)
|
99% |
477
637.2 IPS |
|
|
Text Classification (Q)
|
88% |
521
702.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1330
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1306
22.5 IPS |
|
|
Machine Translation (Q)
|
50% |
318
11.3 IPS |
